Lee, S;
Binkley, D;
Gold, NE;
Islam, S;
Krinke, J;
Yoo, S;
(2018)
MOBS: Multi-operator Observation-Based Slicing using lexical approximation of program dependence.
In:
Proceedings of 40th International Conference on Software Engineering.
IEEE
(In press).
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Abstract
Observation-Based Slicing (ORBS) is a recently-introduced program slicing technique based on direct observation of program semantics. Previous ORBS implementations slice a the program by iteratively deleting adjacent lines of code. This paper introduces two new deletion operators based on lexical similarity. Furthermore, it presents a generalization of ORBS that can exploit multiple deletion operators: Multi-operator Observation-Based Slicing (MOBS). Empirical evaluation of MOBS using three real world Java projects finds that the use of lexical information, improves the efficiency of ORBS: MOBS can delete up to 87% of lines while taking only about 33% of the execution time with respect to the original ORBS implementation.
| Type: | Proceedings paper |
|---|---|
| Title: | MOBS: Multi-operator Observation-Based Slicing using lexical approximation of program dependence |
| Event: | 40th International Conference on Software Engineering |
| Location: | Gothenburg, Sweden |
| Dates: | 27 May 2018 - 03 June 2018 |
| Open access status: | An open access version is available from UCL Discovery |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10044916 |
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